plugins added to output tabular data in exit and buffers

dream/plugins/BatchesTabularExit.py

+from copy import copy
+import json
+import time
+import random
+import operator
+import StringIO
+import xlrd
+
+from dream.plugins import plugin
+
+class BatchesTabularExit(plugin.OutputPreparationPlugin):
+    """ Output the exit stats in a tab
+    """
+
+    def postprocess(self, data):
+        numberOfReplications=int(data['general']['numberOfReplications'])
+        confidenceLevel=float(data['general']['confidenceLevel'])
+        maxSimTime=data['general']['maxSimTime']
+        timeUnit=data['general']['timeUnit']
+        if numberOfReplications==1:
+            # create the titles of the columns
+            data['result']['result_list'][0]['exit_output'] = [['KPI','Unit','Value']]
+            # loop the results and search for elements that have 'Exit' as family
+            for record in data['result']['result_list'][-1]['elementList']:
+                family=record.get('family',None)
+                # when found, add a row with the results of the specific exit
+                if family=='Exit':
+                    batchesThroughput=record['results']['throughput'][0]
+                    data['result']['result_list'][0]['exit_output'].append(['Number of batches produced','Batches',
+                                                                            batchesThroughput])                     
+                    unitsThroughput=record['results']['unitsThroughput'][0]
+                    data['result']['result_list'][0]['exit_output'].append(['Number of units produced','Units',
+                                                                            unitsThroughput]) 
+                    lineThroughput=batchesThroughput/float(maxSimTime)
+                    data['result']['result_list'][0]['exit_output'].append(['Line throughput','Batches/'+timeUnit+'s',
+                                                                            lineThroughput]) 
+                    unitDepartureRate=unitsThroughput/float(maxSimTime)
+                    data['result']['result_list'][0]['exit_output'].append(['Average Unit Departure Rate',
+                                                                            'Units/'+timeUnit+'s',
+                                                                            unitDepartureRate]) 
+                    avgCycleTime=record['results']['lifespan'][0]
+                    data['result']['result_list'][0]['exit_output'].append(['Average Cycle Time',
+                                                                            timeUnit+'s',
+                                                                            avgCycleTime])                   
+        elif numberOfReplications>1:
+            # create the titles of the columns
+            data['result']['result_list'][0]['exit_output'] = [['Exit Id','','Throughput','' , '','Takt Time','','', 'Lifespan',''],
+                                                               ['','LB','AVG','RB','LB','AVG','RB','LB','AVG','RB']]
+            for record in data['result']['result_list'][0]['elementList']:
+                family=record.get('family',None)
+                # when found, add a row with the results of the specific exit
+                if family=='Exit':
+                    exitId=record['id']
+                    throughput=self.getConfidenceInterval(record['results'].get('throughput','undefined'),confidenceLevel)
+                    taktTime=self.getConfidenceInterval(record['results'].get('takt_time','undefined'),confidenceLevel)
+                    lifespan=self.getConfidenceInterval(record['results'].get('lifespan','undefined'),confidenceLevel)                 
+                    data['result']['result_list'][0]['exit_output'].append([exitId,
+                                                                            throughput['lb'],throughput['avg'],throughput['ub'],
+                                                                            taktTime['lb'],taktTime['avg'],taktTime['ub'],
+                                                                            lifespan['lb'],lifespan['avg'],lifespan['ub']]) 
+        return data
+    
+    def getConfidenceInterval(self, value_list, confidenceLevel):
+        from dream.KnowledgeExtraction.ConfidenceIntervals import Intervals
+        from dream.KnowledgeExtraction.StatisticalMeasures import BasicStatisticalMeasures
+        BSM=BasicStatisticalMeasures()
+        lb, ub = Intervals().ConfidIntervals(value_list, confidenceLevel)
+        return {'lb': lb,
+                'ub': ub,
+                'avg': BSM.mean(value_list) 
+            }
\ No newline at end of file

dream/plugins/BatchesTabularQueues.py

+from copy import copy
+import json
+import time
+import random
+import operator
+import StringIO
+import xlrd
+
+from dream.plugins import plugin
+
+class DefaultTabularExit(plugin.OutputPreparationPlugin):
+    """ Output the exit stats in a tab
+    """
+
+    def postprocess(self, data):
+        numberOfReplications=int(data['general']['numberOfReplications'])
+        confidenceLevel=float(data['general']['confidenceLevel'])
+        if numberOfReplications==1:
+            # create the titles of the columns
+            data['result']['result_list'][0]['exit_output'] = [['Exit Id','Throughput', 'Takt Time', 'Lifespan']]
+            # loop the results and search for elements that have 'Exit' as family
+            for record in data['result']['result_list'][0]['elementList']:
+                family=record.get('family',None)
+                # when found, add a row with the results of the specific exit
+                if family=='Exit':
+                    exitId=record['id']
+                    throughput=record['results'].get('throughput','undefined')
+                    taktTime=record['results'].get('takt_time','undefined')
+                    lifespan=record['results'].get('lifespan','undefined')
+                    data['result']['result_list'][0]['exit_output'].append([exitId,throughput,taktTime,lifespan]) 
+        elif numberOfReplications>1:
+            # create the titles of the columns
+            data['result']['result_list'][0]['exit_output'] = [['Exit Id','','Throughput','' , '','Takt Time','','', 'Lifespan',''],
+                                                               ['','LB','AVG','RB','LB','AVG','RB','LB','AVG','RB']]
+            for record in data['result']['result_list'][0]['elementList']:
+                family=record.get('family',None)
+                # when found, add a row with the results of the specific exit
+                if family=='Exit':
+                    exitId=record['id']
+                    throughput=self.getConfidenceInterval(record['results'].get('throughput','undefined'),confidenceLevel)
+                    taktTime=self.getConfidenceInterval(record['results'].get('takt_time','undefined'),confidenceLevel)
+                    lifespan=self.getConfidenceInterval(record['results'].get('lifespan','undefined'),confidenceLevel)                 
+                    data['result']['result_list'][0]['exit_output'].append([exitId,
+                                                                            throughput['lb'],throughput['avg'],throughput['ub'],
+                                                                            taktTime['lb'],taktTime['avg'],taktTime['ub'],
+                                                                            lifespan['lb'],lifespan['avg'],lifespan['ub']]) 
+        return data
+    
+    def getConfidenceInterval(self, value_list, confidenceLevel):
+        from dream.KnowledgeExtraction.ConfidenceIntervals import Intervals
+        from dream.KnowledgeExtraction.StatisticalMeasures import BasicStatisticalMeasures
+        BSM=BasicStatisticalMeasures()
+        lb, ub = Intervals().ConfidIntervals(value_list, confidenceLevel)
+        return {'lb': lb,
+                'ub': ub,
+                'avg': BSM.mean(value_list) 
+            }
\ No newline at end of file

dream/simulation/Examples/GUI_instances/BatchAllInOneEmpty.json

@@ -257,6 +257,10 @@
         {
           "_class": "dream.plugins.PostProcessQueueStatistics.PostProcessQueueStatistics", 
           "output_id": "queue_statistics"
+        },
+        {
+          "_class": "dream.plugins.BatchesTabularExit.BatchesTabularExit", 
+          "output_id": "exit_output"
         }
 	  ]
     },